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gnn

Here are 182 public repositories matching this topic...

thunlp / GNNPapers

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Must-read papers on graph neural networks (GNN)

Updated Jul 17, 2021

CapsGNN

benedekrozemberczki / CapsGNN

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A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

machine-learning research deep-learning tensorflow sklearn pytorch deepwalk convolution node2vec graph-classification capsule-network graph-attention-networks capsule-neural-networks graph-attention-model struc2vec graph-convolution gnn graph-neural-network capsgnn

Updated Aug 1, 2021
Python

pytorch_geometric_temporal

benedekrozemberczki / pytorch_geometric_temporal

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PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

deep-learning network-science pytorch temporal-networks spatial-analysis spatial-data spatiotemporal network-embedding spatio-temporal-analysis graph-convolutional-networks gcn spatio-temporal-data temporal-data graph-embedding graph-neural-networks node-embedding graph-convolution gnn temporal-graphs pypi-url pypi-image

Updated Aug 10, 2021
Python

FighterLYL / GraphNeuralNetwork

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《深入浅出图神经网络：GNN原理解析》配套代码

gcn gnn graph-neural-network

Updated Feb 24, 2021
Jupyter Notebook

alibaba / graph-learn

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Open

[Question] Implementing my own embedding in AliGraph

1

spapadias commented May 19, 2020

Hello AliGraph people!

I read the VLDB 2019 paper and I found it very interesting. It is great that the project is open source.

I am wondering if I can implement my own embedding algorithm on top of your system. For example can I implement DeepWalk in AliGraph?

If yes, do you provide abstractions for defining random-walk operations in AliGraph?
If no, is it possible to build such abstrac

Read more

good first issue

shenweichen / GraphNeuralNetwork

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Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

gcn graphsage gat graph-attention gnn

Updated May 21, 2021
Python

SimGNN

benedekrozemberczki / SimGNN

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A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

machine-learning deep-learning neural-network tensorflow sklearn pytorch attention-mechanism network-embedding wsdm ged gcn graph-embedding graph-classification tensor-network graph-similarity graph-convolution graph-attention gnn graph-edit-distance simgnn

Updated Aug 1, 2021
Python

datasets

benedekrozemberczki / datasets

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A repository of pretty cool datasets that I collected for network science and machine learning research.

data-science benchmark machine-learning community-detection network-science deepwalk dataset dimensionality-reduction network-analysis network-embedding link-prediction gcn node2vec graph-embedding node-classification graph2vec node-embedding graph-convolution gnn graph-neural-network

Updated Jul 30, 2021

microsoft / ptgnn

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A PyTorch Graph Neural Network Library

deep-learning pytorch geometric-deep-learning graph-neural-networks gnn

Updated Jul 28, 2021
Python

kyzhouhzau / NLPGNN

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1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Updated Jun 9, 2020
Python

chaitjo / awesome-efficient-gnn

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Efficient Graph Neural Networks - a curated list of papers and projects

graph-convolutional-networks graph-neural-networks graph-representation-learning scalable-deep-learning gnn efficient-neural-networks efficient-deep-learning

Updated Aug 15, 2021

klicperajo / ppnp

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PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

machine-learning deep-learning graph-algorithms tensorflow pagerank pytorch gcn graph-classification gnn

Updated Jul 14, 2021
Jupyter Notebook

libgrape-lite

alibaba / libgrape-lite

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🍇 A C++ library for parallel graph processing 🍇

grape library cxx graph graph-algorithms parallel mpi header-only graph-theory gnn

Updated Aug 16, 2021
C++

SEAL-CI

benedekrozemberczki / SEAL-CI

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A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network

Updated Jul 27, 2021
Python

joeat1 / GNN_note

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图神经网络整理

survey gnn graph-neural-network

Updated Aug 11, 2021

BaeSeulki / NL2LF

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The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。

sql spider natural-language complex sql-generation semantic-parsing zhang nlidb wikisql nl2sql gnn text2sql table-qa extend-resources nl2code nl2lf sql-parsing

Updated Mar 31, 2021

xcfcode / What-I-Have-Read

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Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

Updated Aug 16, 2021

NYUMedML / GNN_for_EHR

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Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

deep-learning pytorch ehr electronic-health-records alzheimer-disease-prediction graph-neural-networks disease-prediction gnn

Updated Mar 17, 2021
Python

PengBoXiangShang / torchsketch

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deep-learning sketch cnn pytorch rnn tcn gnn

Updated Oct 11, 2020
Python

huawei-noah / BGCN

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A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn bayesian-graph-neural-networks

Updated Sep 8, 2019
Python

ianycxu / RGCN-with-BERT

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Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

nlp pytorch bert graph-convolutional-networks gcn coreference-resolution graph-neural-networks bert-model gnn

Updated May 18, 2021
Jupyter Notebook

EdMot

benedekrozemberczki / EdMot

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An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

Updated Aug 1, 2021
Python

THUDM / GRAND

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Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

graphs semi-supervised-learning data-augmentation graph-neural-networks gnn neurips-2020

Updated Aug 11, 2021
Python

PeiJieSun / diffnet

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Graph Neural Network based Social Recommendation Model. SIGIR2019.

neural-network recommendation social-recommendation gcn graph-convolutional-network gnn graph-neural-network sigir2019 neural-graph neural-network-graph neural-graph-recommendation

Updated Dec 21, 2020
Python

AI-Paper-Drawer

cy69855522 / AI-Paper-Drawer

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人工智能论文关键点集结。This project aims to collect key points of AI papers.

nlp deep-learning graph cv rl gans gcn gnn ai-papers

Updated Aug 8, 2021

shawnwang-tech / GeniePath-pytorch

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This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

convolutional-networks gcn pyg gat gnn graph-network graph-neural-network

Updated Sep 22, 2019
Python

Lin-Yijie / Graph-Matching-Networks

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PyTorch implementation of Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).

gnn

Updated Aug 6, 2021
Python

alexmonti19 / dagnet

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PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

graph sports basketball pytorch vae gcn trajectory-prediction pedestrians graph-attention-networks graph-neural-networks gat gnn trajectory-forecasting human-trajectory vrnn dagnet

Updated Jun 9, 2021
Python

Xuanmeng-Zhang / gnn-re-ranking

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A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

re-ranking image-retrieval gnn

Updated Mar 3, 2021

rootlu / L2P-GNN

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Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

meta-learning pre-train gnn aaai2021

Updated Feb 27, 2021
Python

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